MultiIndex.from_product()

classmethod MultiIndex.from_product(iterables, sortorder=None, names=None) [source]

Make a MultiIndex from the cartesian product of multiple iterables

Parameters:

Parameters:	iterables : list / sequence of iterables Each iterable has unique labels for each level of the index. sortorder : int or None Level of sortedness (must be lexicographically sorted by that level). names : list / sequence of strings or None Names for the levels in the index.
Returns:	index : MultiIndex

iterables : list / sequence of iterables

Each iterable has unique labels for each level of the index.

sortorder : int or None

Level of sortedness (must be lexicographically sorted by that level).

names : list / sequence of strings or None

Names for the levels in the index.

Returns:

index : MultiIndex

Examples

>>> numbers = [0, 1, 2]
>>> colors = [u'green', u'purple']
>>> MultiIndex.from_product([numbers, colors],
                             names=['number', 'color'])
MultiIndex(levels=[[0, 1, 2], [u'green', u'purple']],
           labels=[[0, 0, 1, 1, 2, 2], [0, 1, 0, 1, 0, 1]],
           names=[u'number', u'color'])

Links:

http://pandas.pydata.org/pandas-docs/version/0.19.2/generated/pandas.MultiIndex.from_product.html

doc_Pandas

2017-01-12 04:49:39

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